ArticleJMIR mHealth and uHealth2020
A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03410381 (Development of an Algorithm and a Smartphone Application for the Evaluation and Prediction of Suicidal Risk), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Development of an Algorithm and a Smartphone Application for the Evaluation and Prediction of Suicidal Risk
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- The Application of AI to Ecological Momentary Assessment Data in Suicide Research: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Feasibility and adherence to ecological momentary assessment among community-dwelling adults with suicide risk.BMC nursing · 2025Article
- Developing a Mobile App to Prevent Suicide Based on a Software Development Life Cycle: Application of Ecological Momentary Assessment and Interventions.International journal of mental health nursing · 2025Article
- Ecological momentary assessments for patients with hereditary angioedema: a feasibility and acceptability controlled study.Frontiers in digital health · 2025Article
- Predicting suicidal ideation from irregular and incomplete time series of questionnaires in a smartphone-based suicide prevention platform: a pilot study.Scientific reports · 2024Article
- Digital Platform for the Prevention of Suicidal Behaviour and Non-Suicidal Self-Injuries in Adolescents: The SmartCrisis-Teen Study Protocol.Behavioral sciences (Basel, Switzerland) · 2024Article
- Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study.Journal of medical Internet research · 2023Article
- Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems.BMC medical informatics and decision making · 2023Article
- The Effectiveness of Mobile Apps for Monitoring and Management of Suicide Crisis: A Systematic Review of the Literature.Journal of clinical medicine · 2022Review
- Article
- Article
- Ecological momentary assessment of mental health in adults at suicide risk: An observational study protocol.Journal of advanced nursing · 2022Article
- Acceptability and satisfaction withFrontiers in psychiatry · 2022Article
- Article
- SIMON: A Digital Protocol to Monitor and Predict Suicidal Ideation.Frontiers in psychiatry · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany suicide risk factors have been identified, but traditional clinical methods do not allow for the accurate prediction of suicide behaviors. To face this challenge, emma, an app for ecological momentary assessment (EMA), ecological momentary intervention (EMI), and prediction of suicide risk in high-risk patients, was developed.
objectiveThe aim of this case report study was to describe how subjects at high risk of suicide use the emma app in real-world conditions.
methodsThe Ecological Mental Momentary Assessment (EMMA) study is an ongoing, longitudinal, interventional, multicenter trial in which patients at high risk for suicide are recruited to test emma, an app designed to be used as a self-help tool for suicidal crisis management. Participants undergo clinical assessment at months 0, 1, 3, and 6 after inclusion, mainly to assess and characterize the presence of mental disorders and suicidal thoughts and behaviors. Patient recruitment is still ongoing. Some data from the first 14 participants who already completed the 6-month follow-up were selected for this case report study, which evaluated the following: (1) data collected by emma (ie, responses to EMAs), (2) metadata on emma use, (3) clinical data, and (4) qualitative assessment of the participants' experiences.
resultsEMA completion rates were extremely heterogeneous with a sharp decrease over time. The completion rates of the weekly EMAs (25%-87%) were higher than those of the daily EMAs (0%-53%). Most patients (10/14, 71%) answered the EMA questionnaires spontaneously. Similarly, the use of the Safety Plan Modules was very heterogeneous (2-75 times). Specifically, 11 patients out of 14 (79%) used the Call Module (1-29 times), which was designed by our team to help them get in touch with health care professionals and/or relatives during a crisis. The diversity of patient profiles and use of the EMA and EMI modules proposed by emma were highlighted by three case reports.
conclusionsThese preliminary results indicate that patients have different clinical and digital profiles and needs that require a highly scalable, interactive, and customizable app. They also suggest that it is possible and acceptable to collect longitudinal, fine-grained, contextualized data (ie, EMA) and to offer personalized intervention (ie, EMI) in real time to people at high risk of suicide. To become a complementary tool for suicide prevention, emma should be integrated into existing emergency procedures.
trial registrationClinicalTrials.gov NCT03410381; https://clinicaltrials.gov/ct2/show/NCT03410381.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.